Training-time injection of an analytic hemoglobin prior improves macro-AUC from 0.760 to 0.804 on Kvasir-Capsule with partial retention in cross-vendor zero-shot transfer.
In-Situ Sensing, Process Monitoring and Machine Control in Laser Powder Bed Fusion: A Review
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An ontology-augmented LLM system for LPBF defect diagnosis and mitigation guidance reaches 0.808 macro F1 and substantial Cohen's kappa agreement on a literature-derived test set.
Hybrid quantum-classical model with quantum feature encoding and clustering outperforms classical neural networks for LPBF melt pool prediction.
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A Hybrid Quantum-Classical Approach for Melt Pool Prediction in Laser Powder Bed Fusion
Hybrid quantum-classical model with quantum feature encoding and clustering outperforms classical neural networks for LPBF melt pool prediction.